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https://www.uni-potsdam.de/en/biophysik/events/colloquium-on-complex-and-biological-systems

Emergent organization and bistability in the thunderstorm field

Prof. Jan Härter, University of Potsdam, Colloquium on Complex and Biological Systems, 01.12.2023, Building 28, Room 0.108 10:15 - 11:15

https://www.uni-potsdam.de/en/biophysik/events/colloquium-on-complex-and-biological-systems

Uncertainty Quantification and Attribution in Models of the Earth System

Thorsten Wagner, University of Potsdam, Colloquium on Complex and Biological Systems, 15.12.2023, Building 28, Room 0.108 10:15 - 11:15

https://www.uni-potsdam.de/en/biophysik/events/colloquium-on-complex-and-biological-systems

Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection ...

... in networks; Tiago Peixoto, Central European University, Vienna, Colloquium on Complex and Biological Systems, 15.12.2023, Building 28, Room 0.108 15:00 - 16:00

https://www.uni-potsdam.de/en/biophysik/events/colloquium-on-complex-and-biological-systems

Excitation statistics of noisy excitable systems and time-dependent first passage processes

Martin Falcke, Max Delbrück Center for Molecular Medicine, Colloquium on Complex and Biological Systems, 09.06.2023

https://www.sfb1294.de/events/event/on-the-design-of-scientific-visualization

On the design of scientific visualization

Nicolas Rougier, INRIA, Bordeaux, Data assimilation SFB Colloquium, 14.06.2023

https://www.uni-potsdam.de/en/biophysik/events/colloquium-on-complex-and-biological-systems

On the central limit theorem and the large deviation theory for complex systems

Constantino Tsallis, Brazilian Center for Physics Research, Colloquium on Complex and Biological Systems, 21.07.2023

https://www.uni-potsdam.de/de/data-centric-sciences/news/talks
hoersaal

Vorgestellt: Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection ...

... in networks, Tiago Peixoto, Central European University, Vienna

https://www.nature.com/articles/s41467-022-34305-6

Vorgestellt: Bayesian deep learning for error estimation in the analysis of anomalous diffusion

We augment recently proposed machine-learning techniques for decoding anomalous-diffusion data to include an uncertainty estimate in addition to the predicted output.

https://www.uni-potsdam.de/de/data-centric-sciences/news/ufs-news

UFS Day 13.07.2022

Meeting of the research focus data-centric sciences on July 13, via Zoom

https://www.uni-potsdam.de/de/data-centric-sciences/news/ufs-news
Gruppenbild UFS
Foto: Timo Doerries

UFS general meeting 02.06.2022

Our general meeting at 11:30 in room 28.2.123 and via Zoom

UFS News

UFS Day 10.02.2022

Meeting of the research focus data-centric sciences on February 10, via Zoom

Lukas Thiele

Electoral campaigning online: A novel large-scale (ad) data approach

Lukas Thiele starts his work in the group of Prof. Julia Fleischer (Chair in German Politics and Government)

https://pubs.rsc.org/en/content/articlehtml/2020/cp/d0cp03849k
https://pubs.rsc.org/en/content/articlehtml/2020/cp/d0cp03849k

Im Fokus: In-plane diffusion of a doxorubicin drug molecule

The diffusion of doxorubicin drug molecules in silica nanoslits is non-Gaussian, intermittent and anticorrelated; Article in Phys. Chem. Chem. Phys.

https://www.uni-potsdam.de/en/studium/what-to-study/master/masters-degree-programs-from-a-to-z/climate-earth-water-sustainability
Noctilucent cloud over Gülper Havel | Location: 52°43'35.1"N 12°13'07.0"E

Climate, Earth, Water, Sustainability

New international master course at the University of Potsdam

UFS News
Link

UFS Day 15.06.2021

Meeting of the research focus data-centric sciences on June 15, in room 2.28.0.102 and via Zoom

Philipp Meyer
Koordinator

New Coordiantor of the UFS

Philipp Meyer has started as new coordinator on April 1st

https://link.springer.com/article/10.1007/s11538-020-00834-8
Dashboard

Im Fokus: Modeling COVID-19

Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics. R.Engbert, M.Rabe, R. Kliegl und S. Reich, Bull Math Biol 83, 1 (2021).